{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "tags": [
     "remove-cell"
    ]
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "if not any(path.endswith('textbook') for path in sys.path):\n",
    "    sys.path.append(os.path.abspath('../../..'))\n",
    "from textbook_utils import *          \n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": [
     "remove-cell"
    ]
   },
   "outputs": [],
   "source": [
    "run = (pd.read_csv('data/100m_sprint.csv', parse_dates=['date'])\n",
    "       .assign(year=lambda df: df['date'].dt.year))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "(ch:viz_context)=\n",
    "# Adding Context\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "We have used text in our graphs throughout this chapter to provide meaningful axis labels that include units of measurement, tick-mark labels for categories, and titles. This is a good practice when sharing a visualization more broadly. A good goal is to include enough context in a plot so that it can stand alone---a reader should be able to get the gist of the plot without needing to search for explanation elsewhere. That said, every element of a statistical graph should have a purpose. \n",
    "Superfluous text or plot features, often referred to as _chartjunk_, should be eliminated.\n",
    "In this section, we provide a brief overview of ways we can add helpful\n",
    "context to our plots and an example where we create a publication-ready plot by adding context."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "Text context includes *labels* and *captions*.\n",
    "It is a good practice to consistently use informative labels on tick\n",
    "marks and axes.\n",
    "For example, axis labels often benefit from \n",
    "including units of measurement.\n",
    "Graphs should contain\n",
    "titles and legends when needed.\n",
    "Informative labels are especially important\n",
    "for plots that other people will see and interpret.\n",
    "However, even when we're doing exploratory data analysis \n",
    "just for us, we often want\n",
    "to include enough context so that when we later return to an analysis we can easily\n",
    "figure out what we plotted."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "Captions serve several purposes. They describe what has been plotted and orient the reader.\n",
    "Captions also point out important features of the plot and comment on their implications.\n",
    "It's OK for the caption to repeat information found in the text.\n",
    "Readers often skim a publication and focus on section headings and visualizations, so plot captions should be self-contained."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "*Reference markers* bring additional context to the plotting region. Reference points and lines that provide benchmarks, historical values, and other external information help form comparisons and interpretations.\n",
    "For example, we often add a reference line with slope 1 to a quantile-quantile\n",
    "plot.\n",
    "We might also add a vertical line on a time-series plot to mark a special\n",
    "event, like a natural disaster."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "The following example demonstrates how to add these context elements to a plot. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "## Example: 100m Sprint Times"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "The following figure shows the race times in the men's 100-meter sprint since 1968. These data include only races that were electronically timed and held outdoors in normal wind conditions, and the times included are only for those runners who came in under 10 seconds. The plot is a basic scatter plot showing race time against year. Beginning with this plot, we augment it to create a plot featured in a [FiveThirtyEight article](https://fivethirtyeight.com/features/the-fastest-men-in-the-world-are-still-chasing-usain-bolt/) about the 100-meter sprint:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
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         "range": [
          1964.3953662182362,
          2024.6046337817638
         ],
         "title": {
          "text": "year"
         },
         "type": "linear"
        },
        "yaxis": {
         "anchor": "x",
         "autorange": true,
         "domain": [
          0,
          1
         ],
         "range": [
          9.546229086229086,
          10.023770913770914
         ],
         "title": {
          "text": "time"
         },
         "type": "linear"
        }
       }
      },
      "image/png": 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voz/Qt7+pQ4yYC6HC0X+fop8Fj80jjwsDcFnODuDYpGweqvLdDs3XW9zOm87cfkqThNwmPMaL44PYBkLMNyPc+kd3X6owfjvdfqLOo49tWJIV7Hw2W53bxsS7v63BirpG/HVSdR25XJxp70A/6rHyCG34WMzED+hQuQANq1ucAQUHK/4ZQr4A1h6S8HjogBr0y8Er9INwT5B3xf2q+t0OuiKEx1tVyMdSICJ4Yz7k2NM5J6eeK7VdGMjZD1p7gvA8KY3PBYBG9EBp3aoXosZl8lDANPUmB8fAu379Npq+E3Lb+AweZY8VR2jLKXVuO2u6lHRoSE1pZAMbsVrFc1D92drwOKIN8OhRD7Fs3yV69uIVlXLNQk298rLLbbFgv7EQi1+/e/Z0hE1VQpkOtgm18op5PzWwRYhV9CjwdeA14AUZG4svsJVdI4pcUOwi2pC6xeirKgVj87XsOtdREnumcrYbe1VhYIswoWjmclvBkbeo23LtOuH+w2T5wdD/1WBVvqg6Fu3SBIR2tXn01hVcqVy+TNRvtbY3HnOZyg/i5d3ohzBpzg4hxoKSufBid0qalK2HaN8382QhaXFTguMQAoWXh/yx0jzzurDqZ2wiROuN0K6JdZrazIOCT9yibUIRlGEu+Trlz5KGVSTXESIK/Ddp6p780tmHvl1z3GTOVhbaR5FRUMmcNudRUXDVeWm49J4AiN2GaNMtAcWzU60SOUzOxd81MtUfFFXpOVu7XjuOOUkPIztmHdFaUGyYtvADL6XGZXPHahJHgu31Ry9pDatITUIIjRXKap44BB4DPAfR4HnBA7PXEBY8cf0x633sUq2Qqi9x/fEbdOHOc+ZVoVpWafaA7YbjN1m+GZ5ot2qFWPvJ+uM3qackx3ZiZCABiMVcJPdscC3hlx/SHpZn/UDwoLKlS8kKj2Te5tC6xQl9kmIlLcaBVzZk7QlNkVEul1S0d6A/y22ij1JpaFuB91JHkh+e1KQ082pkwH5+XBB98dNB1p6ktNwuzhQ20I/chwTTGwEc0SaDKly094i2vmdl2nHmjibHivAsvEOZF9XcOy+Na1iSVQiLhrB56pTJaLQQvsVxG3pVYeH0H0MN7UzcAM6XJtZlvzve2sM/q1c6J01oXJpKjdysmevbWkUodYpkNEoyF6q2UXy0/WM7k/JkbLZQ2yBGrzpUKkCYr/HcvZq5UIeAnC2eKdFOjqpF7RYfokOXDS1Gxu+VxLBhkQE7NrhV3bPQF4sOasZDmxFC0AgvL917iW49fEb1y+ajkrkNREeyinPlc60ZMB7+oHu28bDIlqb41DxbfB+x6AZ9jCgIia05CmzDLz+gpvP3GV8WCC+u7FSBKn7sYzR1nX1XH6W1ETFhNYRO53zsY7Tnu435+5QKzBB6RCgL/X5tFh2gPR/7WzE2WmpQ+crNVrBFn+q6ozHXjnA12iCQJy4wcIMxv47xeW7zr6M3qJfQqtPTrzDrBxY9WPSCru3uS6VyZyAxF81DtMgPi+HMIjnS0eY+VVnRz0ghFMujISPXn6QlYeqioCXty1P1IlmlQAwwePLqLZUWqr0beORifcLI14lFQXyugb8fp18PqduCEA7GvYHXqwz78gIufK8Gs/ewgkBu878oxzwvWX54QuNS1LK8K6vaFiMHp0bXZgAoAgyIF+B5o2UJrUtKQ7HY0HrF2XcSc5FoMUKustzYbXT/Y58qPxebHLR5id48D4GjwEz05nmx4HebzmjC2ehHR05fBo64Jwg7i/lhpGCQipFFWPg96bEygrBRVJqlubBhajA7TBUtQWQAqQdzc9nzO3bEOTrYOmIVYznGpwi2+MpHrj6iXWfvMo8RnqMjzFFg2215BAVHqn+8BbOmoZBvqlu8zN3n7lJE1CNCYQ8nNLB4kuQAeGqylga8YFCMhZ5Z0ZArRc4UZgvYglyixAitZ4OqTbzs+qzShmJPjAikmSHnaGGousoWVbnwRBDaQ35eae0r5acR9UuwP208cZMRQyDv3bFyAfY3Gcjh7+gfHfj7CXaO0ngBkuzl3blqQfZciQU3OH9co5L07HW0pnoYHiAqhLGRESufUZS2+9vq0pA1qpHzZkytyTdjrhWdfKhS4cyMYQn5VBAvfOaRi5ExwPym7qSLQpUtQq2zWpWR3n9sZJBvFwu4MNbaHpVo4/GbhEI4pXHPVgaozb3yUv9aRcl7nDZkjVArNgxTt2jD47u+rUFjN5wymUaQFSYB9AOK56DmQrEYrpWHdWWeLTYY7RYfNJJx8O9mrhodUaAyeV1Yy5BoiA6g2GyykB/GhuXC+CBWLCamLDKmTkFHhgfY81N2yDk62DpkGWM3yKcKtrH71vKzHQW2sjASfpwIWcWX3X36mrzHbdNMB88xRfJkNHWLmiQBBy7vVIEqf2yxsAVs0b9aU6jMxXjmejqRR4NXtv6Yuvkf55nq6UQeDexDpkzmeTFg7l2FFQRx1i7l+abyqEElcxDm67da3tNpqqf3zJjarKbgqqSnE1XMCCOLhs0CCthkYWlEGzjrk+x7y8KtAOLfuvpKC+4A7AAF+VyladvpO5riLsxrKmeL6vDh9YpJW6TM5dHntCpLEzedkfYjm7r/QaVykn/RbDbnbNFmBAIKWR713Lg65DZEm7NHVKmGHXPhHvvpfbbx9ZqTz6PnbBN2/a2Z3VFgi/YdtPEorYpbFkYdB0OoDoxFyOM0LpvH6gpha76D8hjZi3hQUFGWnw2YpmUrihxVi4WYEQbfePwGPXn5mkrlzaxqP0KoGLlUhHUxDr4XvGi8sMQcGzxAVGE2FdiKsPFAiBHtGEgJKM0tWzra2q8qVZm0g64KhAfKfmTZWiwOuyTND6IIBnnD5R9pHPm5JXKlZ3lKWR4Vm5IW3q5UScIgBGpDMA6hZUhpoH6MGBbAqB+VIXUcw1t1sE6omlYa2IqQCkH+VbQtfauRe/a0dOTKQ9oYeYuevnxLhbKlNRbNydpWWlVwZTlbt6GbNMVT4xqVooypnaRkHQi3rj50VXNPOFsVqqWPX3ukukR4m/0CixD6okVD6BkUlWJYGsehpWlC8BlCi5fSQEV5dHgg+UzYzhjBlIZCss88clOgiWpkMFiNk/Qqo5camy2RaSt/5jS089vqmvA95sSmpGbxbPTZLG2FOArCnr+J1rBVoabg4JCaKmpNfv1lXV3oj+6VbP0JO+x43bN12FLaP5Du2casnaPAFl5l6x/3szAnLE9GZ0IOEHlMJZ8uPgPfLhiYYtPeY+rug591h8DQtKN/dRaCVAITwG92y7JUt3ROioh6qClAwcsbbRyyvCfvswX5A0CaG8Y8OLgmIVSLliZwC3PzLpCJ9UyCIAEAE3HFwCGLY7FOCHODrxZctrw/F725oBp0djJN9AHPRaTX4+09y/ZH0bA/I1VLBZaoiU1KM+IC0cNe3smHKhfOTJUmhhCK3bhhg3R6TG2WPxUrcHku+vL95/TlooPGNpls6VMx7mFwPqNwqtWPB4ysT+AIxvfCRqXY8GB69TYmdM5D6pHXH7NwthKiG3jmYty+83Zd0BSFTW7qQU3L5WHFPaHn1Axd6EfNki4lFRX7bNOkoMPDAhgdp5hiQMvYtOaerH3qJ4FcY3arsqxoKXDabiO3NF+rA4P92fcBRanSOOvYqkNX6X+/q/PDzb1daVKTUtJ78mNbb6pZLJuUXAN57xuPXmo8bN5njXY7/PaU1qNGYUIRV8efwxmZh9KWdzSE7wsO1hZqnRsbxDZbIPJQ3hPka5G3lUVYQGnZL8BAXJMQpoNtQqy6MKcOto4HWz4iXshoy+BVivi7LD/Y08+N4N040lDAIQtZIrTLGaRevolmoTXXzM6UMrkBxMTNAL8mhPZQfIRiHaXVLJadpjX3kFJDIo+W3jkFjV6v7hHF+QcH+xNACAb+3scv37EcmVJwBcVCEAKAxwgv1JKZajOCt9l8wX4691FoQDmOqZAlQrsAY1kEAKFdeN0yBimEkUG9CMPmA6sFDl6lYZOBnC7yuLzvGV73UGEzgHOWdChPhy49oDlCBACfIbTrMWorK9ZSGgQKQIcIKkfRENpFznaKJI0ACk14f2I/MsZgFcJCoRv+jqK/Gc3LUPnx2pSFuTAyuKxBdyjmtvlcst8JNhB+xbIRaiJk38tUaH/PgBo0aG2kZuOROgXqAwKlefROVQqQZ96MUrYq5L3xuzbFIFV98k5NPzLPD1t6huPqcx1s42plbRhXB9uYxXKUZ2tq+U3RNfIdtg23zeKhUB4BI5FolriRh687SUv3yen60I8qkvLD45zfphwL+8legObo+qAk40gzBbY7+1enNosOSns6TXIjl8/LiOibz9cS9kOl58Wbd3Ju5GEBBEECW212yHkpAM5o4UmRN57Qwo/qQspxkW8uNBgEL+qwNNZ1TRcf8hwt67N1g8CgNGcL5iZwVUP4QDRTmxKEtHH/ZTl7c2CLuQC2aBWzdi5s7EChaSs38l9fV2IFclBcUhoKvy5MqEsFZdzY5V0ZXaPOjWzrk5wIjo/LnC2qB3nTO1hWbCFB0ME2/sAWMzWZu9coUcdnXvClFwUWz272KQWL0ISNZxjnaqOyuWhU/RKMds+cyRh/UGCEwh9ThrYUtKcoDSQJIPOXVVnz9okyo7fQwxdqDwueUu6Mzpr+YTD3IMQMIIY6yuTNZwjyfa0r5KPBdYpZ1N5FqBvtOuDVzZI2JQunIuQnC4HCezk1uhbJNhHl82em1V19GNcyVHyUBlakLyrmZ60kqLbmhhd0+LAA2n/hPqFlRGk8Z4e/Qc1mTsh5iv7wgbpULUT4XcLAcjRi/UlaG3GD8mVOTYPqFGVV56CErDB+myrvjbmOjQykkNN3NBXdkL4L7l2Vvll9TAOOEDYYGFSUhTlF1SewX2VNl4rqzdLyS6Nvd8WBK6xKWGmcXrPlwv2a/mHk0b+t5c68aDHqsbxjefb92/6k7h/G90Iefdq2cxqP3St/Jvqta0WqPzuMTgj5YfA6f+mbn8pINhHLOpZna4j1EA0bKhQEivUBqOqe2bKMlP4TjFT1S+eSeuxQpXrw4o0m3I62NPRFo/peZMZCmxbatRLKdM/WASsvKwoBUToawK0xHWzjF2zvPntNvX85Qnsv3Gcao8PwUrcgr4ecZuMf1I38XB7O3D0+deMJoXcXxVgANhA/8DYZc+chlAxPCv4SdF/xQgIpA4jy5wseFufhBa0i5rp87zlr9wDxA6+i3Xn2DqvqBaCi7xVhWLyYQMfYRWDNQn8o+kRNGbw4tBmJIgV4yb15+56azFOvE1pqwCC19KOmqnLcFuVdaWLjUgw0xT5LhGGrumVlOWBlzhZ5VLBEoVcVYcTpW/9h6wQmJajmQARAFhIeFFSMulQryF7QokwhaByL5EhPnqM2q4qnUjklpWMjarFCOggHzNp+js2FCuDpLTypYJY07G9TBaL/CY1KUcsKrvT53H0UHqUmckCfNcLcyKMqHWKQZESOrEXofcZ9VBrPRctqAJD+QBpE1qqzoqMPI9AAo5bSeMuVjGsbGw/UAQCgd/1j0O/lht7XpuXyMgINRG6Utv2b6nTz0UvWdqU0Tv8JsBVVmrgeLyQAxXA2GLhA/1p65GZ6qcijgxwGBVwoGltz+BoN/zOSEX2UL5CJaSCjhxjpALEYr6lXHpr8eUwfuzXvZkceo4OtA1az0Zww1nOqNBTkoBDCGtPBNn7B1pp7Ih6D/BrCjKJhx67McdoztqlzZK0/8F6UggI4NzY7dhmZBO/pNHVdoBLs9LNcYg/nyFpawNwEbwO5T9FMhUfhHQaWyK7Z5OB8eD3KTYtB7B1XbjCEnrmYO/8bvN4Dg2tKVX9QZZs2pRNNDNaq/oDUBG0opkzGIVzZLQst+tKLikhytoZ2LKyTlmkJWsfYGImkG5jb1DohZI2NVWMBUHGOudYvFIyh//aY4L2amwsMcfVK55IybRkkFolmSCgvUWWNYjtsBLW/ITkNJaKD5fJnlFJyaiuZAAAgAElEQVSogvELDGMwna7RkW8dB40VV2FktFWINGTWEijgq+lgm/jBVrYrx1WjQEb5krfnUUUREvouRZOBLTxKZUgV5+DlN7tVGaumFueSVbdyJiNTA8pCxTjWXH5w/yA/6rv6mCYEyueSFeMg7Fu3VC5puHVMg5L0RcV8xksUv5fMU0JkYM//akiLcdBmBG9vrKCohAnmtilH6PnlJs6FXmpUvyutuntWWtDWS1ogZ072blFbLwo5c5dWHIjSLL8psAXNJCq6oeErmjmwRYph6tazrI1MNFNzgT2qnkcu+lLwXg3334156lKJxYF+rDochXjWzgVSE3irso0dQvTYjJkCW9CJinrG8d1nL35P3bO16hVl/iDw734r0Kvx0n9rhtfBNvGDLQo7xDYTqAXNi0UOCJzJX/8SQahIBrsNABPhQm4ysEVFrMiag+KYWgowkD1zaKtBGBmMUNnTp2JhaVTMohgHzD5Ka1+pAFORMWei7B2ORfsUvG5RxBxKQaCNlImO87m+XXOMhQSVtrpLRfayrTl1F51XvKShmIM2E4R2EQYdv+E086jAZDarVVnGcSybi8slQmxC7PcE6UbhrGmp7JitqvCoi7MTa8fhLEyzQgzeKL4Tej3RwoViNuSjlTarZVmq75FTQ8mJLdXuAX6U0ikJVRgfoiqsypwmBYUPrclILUDzqDT0U//UzlsjD4ljwOgFZi+Zh42KYzB8ic8uj7yJMooYDwVQ8LAhHLBFEKnA3/G5qJyE74XoBSrrmwkFbZyuU/bs8tAuOKlDBI5maDSj0rr8uO2MtYsbagAihtU0VpzLPFtsmkR+aUfJgFrzTpcdo4OtvSsnnPdHxHVjE30Dz9w2EfLrYJv4wRZXCH3PlQei6MbjV+RTIBMjEkD+yB5D0Ywo9g3xgFOjarO+X5gMbGW6r6CuQxjUlP1z+ynrwVQaiDNAagC6RrF9hheZmBoPhBBoQRKl48CNDZlCkV4PQAX90dF/n6TFAv8xAB+AICtam/x5acJvqfgIEEOoq32h0wrtVvRnKo2TJEAOT2yfaeiZm+VZa03fzXLoSgNw4nvLBBYAtsgn9hJEzDkhB8ZBvyo2NOAhblw2LwNaWJVJIRomK+Si06RITp8LuW0cD1rLn/dGadjFECoGC5Ooj4tzUJmNXDRED0AqobQf2xrYvkTvEI/tmbFBBP5jUYiCgyPOQ+3AlpO3mUwfwrooaEKuvsSITRoCFXjKENwQe2kxDqq2IbyAPnGlISe/tGN5KjZ8E9t0Kg1eObzXEiM3a77XoaE1KWvalOxwGdh2XxGhoQZVktrY85uN7Tk62MZ2BR1wvg62MYsY160/DrhdDhlCFHLgg+KFxcUSZGAra/1ByBK9oKbMVDsOxAG+33qWNp+0TWIPfbcgDBGN5ew+fJCGEcFJ3X7JQVbJLZqpkCXCiCjWQQWuaMjZQbxcFrJEn23tGaGa/CDCiGAykknsofWLF0GJc6HoBhsWUWMWx5nL2ZtSxzIX2kWb0Y4zd+lPhaAEvx6kLAoO1rKEBRbPwXrEsYmQ3RP8TZZHR2Uu2J6umLgnpp6nDSduSrV4cf/R+ypWHGOcP7r5Ur81x6Q523/GBjGSDNEQugfBhhh5wXFgYQN3simw1SX2HPKasn+QuMrZ2n9FhjN1sI07sEXxB2S4UKFqpxNq1e1FrgpFcvB0PfJkUOVxweCDilRU5aLVBAYvCKxJooG6Dt4ZTAa2IpsSjuOMP/h35HMPRz2kglnTMtYsmIy5CX8/PDSAgS1aTZRmqUAKgCkyEuF8eFiv30VLC3+Ojgik7ssPswpwpfGcrUxiDxW2TcrlJhAUiIYeUZD/y/RnIUSAzYAosZczgzPtG+QnJTVB7zMYxGQ9nVCL2n/pAetJNbVO8CdB5wgvnssx4rlDhbBoiEQkTUr03SYtN/bvXX1pY+RNjbeJugCArSx8D91fMCOBJUw0c7J3m/pUJahSmSK1wFhPXr5lYW1UNCNtAoP3KhOHABMUyEJkGyCE/fv/dpz2MrnGGEvF2MCCpEVrbX0LUBufvBTwvXYToWzVk3m21afs1AA7og7gYU4o0z3bhFp5xbw62MYshqM823vP3lBLMBbdMYQL0WsK9Zb8H8HOkbcdhRitFu43hgtRHAcPFbnR3aDeW3zImJur4paV0I8IgzyYshKUc/fya5OBLXKGooILEw4vlZOptyhzfTynjMgi+liVKiig3AP13v6L9zV8wMpKT1Pr5DsxhFHzcQMY/DO2Nst3lh2DXtWYcCbyrsi/yvKoXM5vQvBpmr9LrXTDNx61p4fSmVsxPbjI2R4eWpOxNiE8ruTvhTeMPmFZERenGhy+LpK1ISktfGgAZUmbghVPKa+dF9XcefKKMVlBQo4bL9K5fP8FA/frH4UPwC0NYXaMJ4b9sZEB/zVafxD2Vc6FnC1C1rJqbxSDoShMbNXCuv/Zw5cBPPiKOT0prhGfHRsRQEkpCZUUtG7xbILKcUPkLeohqOq09c1PyG/vu/CAWv2433iNeTM50x/dK1PWtClYbhttZMb7T0QQAECrW4M56jYjsLf93bOylNaSE7zI2oy4hKEYYk6aNAldHB8DmjKwRXsc2uSUNqhOMepStaAjf/o2jaWDrU3LFTcH62DreLCFbqqYHwoskYMWxKKgydTdl/WItvHJR2MblmTk8GI/Ktc6Rcjtxz2X6Nmrd+zFjJecsrJZBrZBM9SgiWtCj/CoBiWo8GBtHhWFUMizweMAN+2rd9GUK4MzgWuZG3qIUayF4im8GHG8Obv95BUrkBFtTMOSrKJXzG3Cez0/PohGrDvJvGyl8eIpWdgPnhLWUdRHxfno6UWOFeAH8oro6A/kniOd6trR+rOb9YkmYSIEvPiszJit9FABFBgPBWE5XZylbSbowYVeL/qzl+2LYpGS0nkysJYrmKjti7+hGAdjFhu+WdOqhV5V8EvLIhtoF4SAxg871W1m6AcHmMH2XbxPISevk1Py5NTEKx8rDENhmowaEqCJey8TBwCpyYLQi5pCIkRfIL8ny6MidNumgqs0t43vBVIVEeRwzefH16GeKyF7eUt1/3kPtiw9gtYeVD7XloTHORBjMBnYfr3yCP19XK1mBW1k8H4nlOlgm1Arr5hXB1vHg23DOWF0VOh9jituVFnvK4pnfu/mK30B9q7pRn1rWuZhloGtrEUGgIVQJ0BENM4u5cjH/K9jNzSAivHNtf4cGRbAyP9FjVGcZypnCzWbakWyEVR1RINOL7wiWw1FXfKcbSFySpbMLok9GZkEGL9QTSvTGDaXs0V+GIAED1Y0ZZvZkydPyMnJiZydDakCWbU8/m5uLmzEUESGtINopu6Jf7HsTPRAVFvi998UNzLAG2QXYjsOzoOogJskZ4uqZ9BDmqJr5Pq5MrDVW39s/WU4+Hg9Z+vgBY2D4RwVRh6yNlLTqxhX1YgyxRL0I0I5BQLskL9TGm/VsLR8MrBFrlQsMmrunZcpAsnyg2DMQXsForrL91+m+8/fMuUbvMjsNbwwZVW7Q+oWIxfnFFIBdhQmQfYQVbtK416U19ithNC/0gDebXxcyWuslmCftwXZ8x2KDdvEGIeUhpAwwrhiCx+OURatyeaTSeyB9hKRDdwTsWob4eCUTkmlsnch/auzNZq/64JqKmXo9NztZ/RH+GVKliwpta9SmF03cvUyYEfoFBEUsV0Mg4cOqMEiK2LVNqe8lG0iUJEMhjG/qdo8Op5rXIdMYAFeeY/lEbRVUPbhgu6yTSQqkfGcYuMsGhSQoIQEk4Et0ilIqyitQoHMtKqLjz2PjEPO0T1bhyxj7AbRPduY9XMU2F558IJpuCLkCYMw+K+dK1CJXBlid7MkZ8Nbg0wdz+eBKxhggNztkLUnNAVIZ8YEEWgALZkMbFF8Avkwpc1sUYY+88xFYr83b6vBsaCa5DJ6+G9Ok2jpGkx9LubscBwqc1EgJYYzKxTMRKs6V2Qh2GHr1BJ73PMev/EMLditBhgU8GBjAKBQKu6gHQhVu/Ya+jnR18kNXii4gKEPjDwqwImbMnxraj60zqDQSGm8z/bv4zdVqjXgHYa0IXLBYuiUc0hH3X9O0K1V5ofRwgMvT8xF4xyQ/EO5qNrknYRzlYZKX6dkSTUFSAg9g15RltvmkZfJm87SHCGcjV5wkKjIojlIFbx4HU2lR21RXQPndZb12XIFLJn+MO4x7jUqsJUtTWIBnwxsEYYXC9AG1C5C4JFOKNPBNqFWXjGvDraOB1uMCIk7eAno0WxRPq9ZHdbYPgbImYFiL1mSJARPE72yeEHgRSEacpFoNbFkMrD1n7pLw8LD88MYD3R4yFWVyO1CNYpkZVOALAKkEaKhzxY5VlsNhVEokBINQuXwbMTNAI5DUdA3q49q2ozAb3xqdG0GBqLwvVKJCYU3fx2+SH4l81L5ApltvWTN8Siq+uPIdVYwh+IyGHK8MoUhkHVwGT7ZxLKURZNyeWhqUwMPL4geIGTvnj2dUYACHuVYAaBx7N+9qlDJXOkZP/O8XecJuI9iNi4RKQuPItePsLost42/Y/OHqIJouCe4V2KfLecyRlQGeXylwbOtUTQrtVqoDe3zsK6MhhICC7j/G4WcLS/Uknm2KHbzL5qdmi/Qqj6Nb1yKWpU31B3IwBYpC7HyGRs3bOASynSwTaiVV8yrg23MYjjKs00Et5VevXuvEQjHdcUmZyvTM63qnpUJo5syU322wX2qULEcljVqxXFRYQ2eW9HM9dlu/6YaffVzOF20gRtXuYnAXHfu3KGsWbPGmh7T1DqBcUhG16gsxpGdKwMlFFShsMrWewLSDZBvmDIZKPkXy0ZoJ0LxnOye4G+yPlt4tqAh3XjipuY8UznbxmXzsGIzU3lUUznb3d/WoI5Lw6V6xiA8KTxEuylt4JmL8GzLVISUtQjW5mwt0ZDG9TtDB9u4XmErxtfB9t8JtvhWIq0d/oYe0foWKn5xnMyzlVEN9qhRiL6tVdTkk4ZCMTHvBfHy02NqsxAj2n8Q7oRXiopdrhSEAdGugz5MKO2gMManYGZW+Yq8pzoTTUwsHRzB4ouYa5aOWq9ldSrj6kJru1eSMi3xFiTMhx7Xf248pEI5XKhr9UKM3hIGsglEFO4+fUUlc2UwEh1Y8bPTHAJvV6YJfHyEQWHGlIEG8w9Bf5a3IMFbn7vzPJ2+9ZSypUtFLcvnZV5y6Ll70sIvtP4gB4sNzYqDV+juk1dUvUg2YzGYrD4AhWL4xw2EF8JFQvowl0sqllJRGgg8EFFAaBdqRkrjmzcZ0xZADrlSWZ/11GYerPJ50B9qLxoV9mjVwf0XOwR4HYUsLI0Qc1OvvEz1STQUH0IN68ytp/TLgSi6/eg5eRXMRhCchw347RitDlfTf+I3h99eQlmiAdv379+znWuGDBmMFXbmFsXW4zGWXiCVUI+Z9fP+mzxbfOvwyw+o6/III7cr72G0ZkVkYAswA6MO134FOALkAJ7m7Kc9lwiiAzAQCSxs60Xo+T1w6T41n69maOL9o/N2XaCJwWdUw6LABIUmYugUL+/jI2sxcXiEupXGARU9uBAIOPaxShytNlDGKZ4rPQ37M1LTFoTeTNaKNDuMjiuUacBHjNAutFOrT96h0nCtUyoH/dDaPs1SFLKVG7NVlSvNhN7XoQFmlZ3QUiVSFPICns7LwhndITfI6MHLA19xyRGbVcVzvFhsz7l7Gpk6LjaBPKTYFsQJHkA0AcIJbgC53d9WZ1KEFSaEqHLRIF5Z93VlxkeszF/jXISKUew26PcT9MshNeEJIigAY++x21grlNKQlnj04g3LHSuN1w7AgwaNotIwD+aTyR4u7+hDld0yk0jkgtTHkeEBdOPRK6oxZacq1N3QMxdNb1FGKnsILd7eVnQBWPPbtOeYRAG2oaGh1L9/f3rwwCC/1aZNGxo2bBglBc2KxGw9ng+hg609j0j8nvNvA1u+emDiwYsWnqS1JgNbfu7z19GEoUCOYK2hPxQ9vfDSuMgQRMp/DL2kGoIXBbkPCWZ5b6XBc+hYuaCG1xnHDKlTjJ6/AYOU2lPCZ9CfhWA9DBsG5CThcXGThce7Vy9En3nmlvZZQlIOuWMZW9H5cUGs2MlWkxEhYAxOGmJqPFkvNbyuXzv7sGp00eAdgs1IViGMQq11x26wYjLRENqVVQgHFM9OoxuUlN4TcwpDoNCE6o+oI8yJPGR5dGwWQZYio9A0sFXJQ9bID//v9+OaueDtg1wDc4kGPfCGZXJL1YywmUF9guz+g4cZrGMoklRaXLX+WfucJTjY3r17l3x9falr167sn2vXrlG9evVo4sSJ1KRJE833sPV45QA62Fr7WCTccf9WsLVnRc2BrT3jyc6BWg1Ua2Qvdll+8MuK+altxXzk/73ae8X56B1GGFMGtvDmXM2wd8nmAoECioPEECjmAjcuyEJkL1u0mWDDYKtBkEFG//h9M0+zwiJitSzmBZn/uh6V5H3WZvRsoeyDPltUllt7T8DQNaFxafKXtOOY633+s0cllrNFSNvaudDShl7bLsvkesamuLHB+IXe3N3CXIiIgK6xoARsQbwCHWFEQ0QbXr84PXrxVkOhieNAoAGPV5fYE1Zt27Zt1K1bNwoPD2chZNj48eMpKiqK5s+fr1lkW4/XwdbWV07CHq+Dbcz6y8AWngNyX8v3R1FKp2QM4Hieyp479+eR60zUXWlcHafPr0c1hPggXUDhSuVJO+i6gq4R5+8d6E+X7z9n1JVKc0mdgo4OD2B/ghcNQHv9NpqxQ6E3E55UxyWHaLsgsYbCJLS7eI3bpmJ8gocSMSyA0G8qKueUzuPCWmHsMSgxocpaRddIREeHB1KG1KZztshR/nJQHW7t5edG/QLdqe7MPXTyRkxoF9cFkEPOWcx7IkoBDxDKUqJkn1f+jPRbV18WhhULmjgpP8LSCNUrDYpKaVIk08geuqR2IhCN/BR2WdO2BE954ZdeLKcsAjH6uZt552WFf2L/+IZeVRiXsuj1cjk/5GvB7KY0SAPiGQCdKE+N8M/Rp4wWNbSZYVxuqPRHaD/yxmNGyao0Xpg28I8TBPlA9XNtCDEnlCW4Z7t7927q2LEjRUREULp06dg6LF++nFasWEHBwdoQjK3H62CbUI+WffPqYGsebEetP0WLw9RhX9DkweOw19D6gZAmemQBtAjR4oWGYheE/qBAkzJ5MkLLUsfKhgIUsacTGeP9g/3p7O1nGmFx5Igh57Y6/KqGyIHr2cJL/fa3YyzMCPm/YfWKMYEFGPKQg9dG0olrj6hQ1rQ0rlFJVqgly23Gtr1j74V71H15BD16+ZYBIkLIXIXJ1PqCtAJ9ohCXwDoAjLCGMDHfjL8BlCBkX27sFtbaww0tN/sG+rP1FhmaOKc2WnFARQiGKczVtlJ+Glm/BBsCpBYoclMaQtloR2sqaMyCLvLU6FqM1GLcBjWHMJSWFrf3pt6/HqF1R9WUh3NblyXQniJ0/vqdOsUAzWKwmaH1rP+a46yQDrSWWAv8HYIX6DtXGi8ka/RDGB258kj1GTZ2KMrzHredHr6IITzBpgSeMlizxKiHN/qYu1akSZvO0Nyd6r7tr6oWZKmOhLIEB9vHjx9TYGAgubu7U6tWrQj/DbCNjo6Wgq21x8+YMUOzprNnz6bDhw8n1FqbnPfFixeUOrVBDea/bvDmkidPTsmSWZ+L/LeuGX4D7969o5QpDblOWLlJe1i+U2l+RbLQ9Cbx9xKJevCS6s/ThhF7VM3HeIPn7VF7FLjWNR3L0Nw9VynkrDpkidzl4f9VtuoWvnz5klKlSmVs/ZmzO4rmS+ba901FVj2d0AYw8v5Oy37UtbIrY5CasUMbvv+lvSf9eew2rYrQtuMcH1zF+JXevHnDalrwW4Gdu/OcmvyoLj7C37tVycc+nxuqzQHPblaCftx7lY5eixF54BNgrtLjta1EbcrnJi/XDNTnNzWJB5+rW5UYzm1x/buviqQ9F9TUkADOA/19yWOCdq4W5XJSzSJZqNNKbY/wwMBCbEM0L1T7rEUMrEyNFoRT1AMDoQ03zHXwW9PtWPY+L+nTW9c+l+Bgiy94+fJlFjLG/+fOnZtOnjxJrq6u0jCytcevX79es3b9+vWj48eP27umcXbe06dPjV59nE3yiQyMFyo4X/lL5BO57Di5TAAtegg5/y0mqTAplKndKK1eqRw0uXHxOLkG2aCoAvWfsVfzUf+ahRkN4pxdas8bBwZ/7UNzdl2mv0+oOX/Tp3KiA/+LARFzX0L8nczedYnm7NTOdWRwNWPhGAq8EHpHbtBag6eKfCBCrejNVBo2E/AuZYVpAFccjagADJEBj3FaWsMe1QqQi7MTjdukLST7u3sFWh1xg5bu1+ZsT4/wM17K46fP2e8kdSpDCxSKgWrN0ur+Yi6Y7J6saF+O5oVeptDzatlDVDGfGl6DSozeoaGabO/rSlUKZaIOy9SpB8zxdfUCxOfDGqEYL2Maw/XB+qyJpM2nIAwRY1BwCu3nS8VH79DcnnYV81JQiezU/Eftxm7cZ0XpxuPX0u8VOawGfb4wnLUFKQ3Xsre/dRs7a58VHKf8fZo7L1GArfICnz9/Tp6enjRkyBBq166dxe9sy/F6gZTF5UzwA/QwcswtkOVswWM7Qsh7oajGr2i2eL13YusPQr8Hh/jTmZtPqfFcNRAXzZGeNvWpIpWOgxweQonWmEhqAVapurNCVcxTvoWzMFEGAB9aWrhWK4qIoPiCNhhztvbIdeq36igr9AJwzmxZlup7GBimlO1J0Bye90U5RieJPCnascIvG7w2hHxxT+C14xrQXsMNQLzr2+oEkCkxfLOqbQX0nqgQDj13l75YpCYN4Xn0+8/fUPvFh4ytUMhpL/iyHNsU1Jq2m87eVgMMGJPQFhYwbZdqndDri/ap4Mib1G252iMGAxpCvyJNJr4DcsBo5UEB0iUFQQny6KgqBluVkqIUm5LF7bxZKB66uJ1+jqHJxHjIAaMQCuu38+xd1a1Z+ZUPI9CAni2XysQBuVycGa8zNhgo1FNSOYINDKH/hbsvapSObHnWrHkebT0mUYDt/fv3Ca44/n/atGm0c+dOCgkJoTRp0hB2s2gF6ty5M9WtW5d9P3PHm1sAHWxtfTzi/3gdbM2DLT79PeIabTt1m1KlSE6flc5JNeIZaEF/WWKENmeHXCT6LMXqUXiIKDICeYIowF63dE6a06qsVQ+ajEHq4KUHTHACL37fQlmofy13Sp40KctDLgxV6+OCQB/yhqbswt1nmh5hHHtwsD+Fnr+nYTJyy56WtvatxnLNawQCBVRSo3AJXvLM7ecZOEJTuaW3K+sr3nX2DtM5Fm3/IH/6/fA1mrxFLSzvnj0tbelbjbosO6xRBAIlI6gtC0tILQA8yAWDG1tp4FRGMRYIN8QWJGzcsFmALdt3mfacv0/pnZNTozIG9igYOMdnhZynfRfuUencLvSlbz4q45qR1h+/QT1XHlHNBcA9M6Y2+xukHJHTRX1AYPEcrLUHVvW7HZpWnaF1izMSEGjxilSe+wb5U84Mqej4tceM1OL6w2dUvmA2tg4IRvT65Sj9dey66jp4Ltqqhy0ODkoUYDt16lSaN2+eYdGrVqVx48ZRjhwGVRK8fL29vWnkyJHUunVr9jdzx+tgGwdPSTwOqYOtZbCNx9shnQrCC7ZSA6IaGUVEIL5Xmkgqb+672ULXWH92GCuoEgEGRUGmDBsBkU0Jx6KnE5XPIpkEPoP4QpFhwSxkrDR76RrBwoQNhKiOhLFNUSgyGbpaRaT9yOZaf0Ch+f3Wc7RB0H3lc9nznIFrWdaOhQ1LtvQxfdXKsQGksj5baAJXK5KVefKiceIV/F1G1yjTR47N97JnLcRzEgXYokDo3r17lDNnTpaHsGS2Hs/H0z1bSyub8J/rYGsZbBEiBT0gvBOEOMW8YlzfRQivy7RzJzYpRc9eR0sJ9qE+M+KvSPrloCixl4aFVa0xU2CLUDHyc1CIyZLWkCOUiYeDaAI0f6YMlbeowBVtddeKrPJZ9Mo5167I3ITz4bGhmtaUzQo5R1O3aHO2v3T2oZ1n79D8XWqvnEvsoTUJZB5K+7JiPtYCJrsn+HumtClYCFy0EyMN0YbFYepCLS6xZ+mewFvfceYuQdUHwuwwU73KZ8cEsaIwUyYjNYF4fONyechvijbvvaS9N6OxNAW2slYi0GCCDjOhLFGAbXx9eR1s42ul7Z9HB1vzYIs2GPSxPn1laPEAdeGarr5GkLF/5W07s/cvRxjTETe0eKzrUZmiP3ygejP30JlbMRWuvL1n5z93qZ0gYMB7RK2ZXQRb9MM2X7CfeYLcFrX1JhDzH7r8kJrN26viCuY5QHNzQTv3noKGkKvSgPXKe5xaVxfi9lA6mr3jPE3ZrA778lykqbkQXga/tLJ9pmDWtBTyTTVpzrZz1UI0uE5R1qMMQFPazBaejGkL0QZEHbih0On06FqsYKvgIDXRP8+jw2OvP3sPa9PhxuX8zK0T6ClBU8kNtKErOlUgMJshxaA03rZkbjzUIYi6uht7V6HiOdMzNij0b3MDhSb6rLnJPFsZ1ajSG7bmeXP0MTrYOnpF7RhPFyKIWTQdbGPWQlYg9fm8fYxvWWnofR1WL/6qkfncIMRArjSdsxO1981PKJKBIaT6U9glevkmmjEpcQk7aL6Kcm7QdwVFoTUmgi2Yr0TyB/QDnx1ryA/i2nCNMHALI8dqzs7eekog3xcN+UGMg95NpXGyjgZzwox8z/zzhmVy0fTmpgkU9l28ryFkwLngF4Zw/A9Cjyiqqc+ODaLy47YxTmiloaAJdI1Fhmp5CcY0LMnug8jdjPN5aBf5V0QcsHlB/h/6vuYMnMjgRhYNogcQhJApJ1mi0MS1i327EFcA8Qm+s2icNxt/l4GtTLADOf2VX1Ww5lGLkwG4q/AAACAASURBVGN0sI2TZbVtUB1sY9ZLB9uYtZCBrYzWsLJbFlreMeFeItY+7W0WHWDhWNGQi7TGRLCdtu0czZDwMKMYxxbOaD63TFAAn4HJCspJIkkCPkPOVpZvLJAlLe3oX83k1zIle4hq3xX7o+gvRdSAD2IqZ4vKYogRyMKt5nK2KExDgZqttuXUbeq81Da6xgODa1L29DH94so54eWLnjc+Bw9zVbes1FGoYMZnSk1oGdjKCq50iT1b73QsjtfDyLFYvHg6VQdb82DbbP4+VdgUR3eqUpCG1jVPagFqPSj/PH/zjlwzpaYmZfPE+o6iKhrtF2lSJKcOlQsYlYfg2aISGD2uhbOlo/ofX+jweKAZqzS05KzuYvBs95y/R4cuPWCkFchDIlzIDTJ652/co5yZMlD7ygVYnnrZ/ihNLjKVU1I6MybIru+GkCpaZERDhTDyuROC1UxLYJiC+kyjH/bSkStqsgbovn7fzCAeLzNTQvVQTpq387zGs+UVvZAAhBSg0lp4u9KoBiWknu24RqWYZwvBCdEODfGnrOlSsRwwL8iCog9y29zQtoSNBmIWn3nmYgxeCLMj3C4a5OvgJYueLe4nPFse+ZCth1Rir6YbtamQTxO+x/mofC+Ry0AmIQNbGa1lQm9Kdc/Wrp+lY0/SPduY9dTBNmYtZJ4t+GORs338kSsWXg3ASglM4tOJas/P5uyhE9diOHq5ZJu9T7JYgFQqTwb6q0dlevf+PeMDhs4sty988hHCmeijRD+l0njvo0jlCBk19IiivePLRQdp97mYKmZloVOLBfuZHi839HTGphUKeVnkZ7nlzOBM+wb5MWYsbHQORxlAFe0lyzpWoMqFs1DElYfsnrx6a6hIBnnCqs4+5J7dQD8rM4RsQa8ImkpubtnT0da+Venhi7dMwjBKkadE5AJgse/CfTYX5xAD4P/WrSIDQZF72KdAJvq1S0XWyyuqD+XN6Eyh//MjhM5R4KVUd+KSfcv3X6Ghf8awN+E7Q1wB/NOVJoXQ9YfqQq1z44KYqpW4IZzazJOalDW0+JiycRtPs95YpaGXNm+m1JqeXrHQSQa2oKEc+1FSko+J/Dry7AllOtgm1Mor5tXBNmYxdLCNWQtTqj94ee69cJ/AbwsuWIHkSPNEgyRfFPTGQSgyMQfSpn4aD56/YeTwoqGHFQUyMi/KUI18UkPYDy9794AaVGQoioVigAdj9/QrzMTDERIUbV6bclS7pKE9EJXIV+6/YMQJ0Im112SiDBgL/MLgYoZFXn9Mt568Zv2mSoIM5Bu3nrpFyZImpcDi2c16cRhHRsqPv4P8A8VLAGPwH0OyEFW3ABhuT1+/o7/CL5FzyhTUsJyrqhod4hAHLt5nhXPoe4Uh//udkG/G3+Gxo5BIFHSHFCIkEWVyftCeDSyRXarEhMrn3jXd2JyHLj9gqjvIk6LP15IVHrKR0L+ttJ5+bqyqW6ZmpCRykYFt56WHacspNVsZ7iHuZUKZDrYJtfKKeXWwjVkMHWxj1sJREnum8oPwHMGAZKsB3GpLConM5QdR+NPrlyMm+2xlueivqhQgEBG0kkis9Q90p6/9DC92R5m5PttGH8kXHDWXqXsyv005qvVxE2FuridPnrA2SWuoAk3NhYjIz/suazRmMa+p/HCTcnmoUqEs1G+1lq4R97/PR7C1dZ2kEotVC5JPocx29dni+RTpGpXqU7ZenyOO18HWEasYyzF0sNXBVvYImQLb1Yeu0tbTt1kRUAOPXFSzeHazTyBoDevMVBO949yTo2pZ9MBkAyOkihCosl0Ex23sVYWFt0WJNd6qISM8qO+Ri5DrazA7jI4JJBTwlAFyxYZv0jAI7fmfH0G6zZGG6mXQEIp2aGhNyppWXtzDj0XbCoqaQNEIb9xSThx5UISKlYYIxYmRtZjqEXqHf4+4zhi54B0qZRThjW48fp3SpnKiLyoWoKCP4AzvGmsM6bn8mdJQW998hND07n/u0Zc/qTVhkfNG1TYkD8Uqa+jVLmrrJZW9+ybAnVpVyEflxmojGz+19SK/Ytlp/8UH9GPoBbp47wVVKZyZBtQuRmlSmqfJlPXFQs0K6Y4SuP/CTYFXDo/5yNVHtHJ/FF178Ix8CmcjSBtiHUevP8Uq4pWGOgBUbSeU6WCbUCuvmFcHWx1srQVb6I+OXq/WBOW9peYe5TWHIW93goUnQZ84t3U5i9Jx5sYT212gsoNWEggR+IzfrtI6rVgwM4GsAWAE71ZpXasXooG1i0p1WtG3if7NwGm7VTlgAN/eQf4M2Bxp7z8Q+U5UFyDlzWgIc5sL1cvCtJM/96CmXuaL0Jbti6Lhf51k9wTFQ4vaeVN196ysR7jpPDW9IgrQhtcrLqWhhOxdUKmcLLSL8C033JOw//mxHHTgdDU3MudhxtzdV0ZQ8EeBCBBU/PilFyGULJNz5L3KMnINhJ5RIFVv1h7VbUE4e21382o7F+4+p67LwuncnWfs3DY+rjS2YSlGd1l2zDa26eCGNqijIwIJ+sP+U/G9YqA4qGROmtumLKscFzcRA/CcVS/kyEfGprF0sLVpueLmYB1sdbC1FmxLjdxsJLTg53zmkYtmtrQsio13EgphbFHAkV0X8oKVJoZoPgJpAPeuxA9Pj65NXy0L17T+AGQujK9D8jByQZazg9cjGoTF0YPpSFt39DqjlBQN4VZUTZuyosOCjcVR/BhrAAbHAkxAUJI+VXKjdCCqnkUGKU5riTYjkScYXMa4/xCPF+2bQHemmTtd0iKl/F7Il76nD5QiWQzLU8HBG1Uk/xgbohGoWG4jCe0jhIxrk9E1WlsfgOcHwgm8cnnjiZtsIyZa/8Ai9Pb9ew3BB47D8xQwbTddvGsAbm5KjmZHPjfWjqWDrbUrFYfH6WCrg621YOs+JFhVOYrzapXIwXpB48tMhVu/CSzCqnZlL3aER9stPkSHo9SEHBxEZGAL5imIhzcRVITwPdHqhJYnR9rKA1dosCBujvGXdijPAMaUyQqJIJYOMXV7TFaZi3GQR5WBLQrDUDDmMWqLZjpzefQlHcozT9qUye5Jh0oFWETkK5v7bP0JbFy2mqkNUN8Ad7ZREdm0MP758XXIb+pOVjSnNHCuXJxgXU+3rddpzfE62FqzSnF8jA62OthaC7ayXtXJTT2oaTn7+2bBWASeXni98JKnNPUwarKaevRFiTWEWQ8OrklPX70lv6nqXlVQ7oF6T9aO8Xm5PGy+1j/upzBBVxWkC0GlclDFCSEsPMkNvbSHhgTEqvJYut7v3pPX2K2qyAFC7uFDA5i39dvha4zfGRXXoISc2tSTheSHr4ukpfvU4uzwvL72K0yIAgz47TjLwaIlaGLj0lSrhCHHvuPMHeq2IoLlvhG2Re4aFbNbT93WgBk2HbNblaU+vx6lP4+q1WxG1i9O7SoVYOxXaOVRGtpnbj95TZ8LYWnwanNRBlSJL917meVF0TY1p1UZxrvdZ9VRIwMXHxObuoDi2Zk8IFIGStvcpyo9eP6aWi5U54eRW0eO3R5DjzDqAwCs3LBB2zfYn7UeiRsxyP+BGES2YWlXKT+NrF/CnstwyDk62DpkGWM3iA62OthaC7bIT43beIaQ7wPoYIcPdRR7DYIG/VYfU51uTVgabR0j1p+iHWduM/5a0EXy9hiwRI1af5LO33lGtUvmpNENSjAwgQHUoZ4DDVJUtqIIBsU6UHbZcVYtLM7be5DHw3gYt0xeFxpWvzhBVcfR9vz1O5YfVLYgOadIRseGBzLCDWjTKo23kiAPLTI+IdyKHmKRrxjn/9Hdl5ydklPQDDU1JMQGzoyuzYrfegihUwDcwi+96H+/HadV4Woxh/GNS1Gr8q5UfPgmVd8u5lrVuSLBo2s6f5/q2hFSRWgf9JliqxYK7pC3fRf9nuWU0QOdIZUTDa5bzFj4BcrQoesimX5x5rQpaGaLMiy/DkPLUt9VR9m1oCcaxBr2VL1jLLS5lRm9lWkGc8PGJ2J4AKVP5cS0gkf+dZKuPnxBDTxys35utH/JuJZblHeliWYkFh39PInj6WAb1ytsxfg62Opgay3YWvE42XTIsHWRDLhFs5ZC0abJzBwsC1lywOKn2SKxZ891Qbt12Dp18RnGWdzemwnDz9lxXjPspQl1GNWgWC2bP3NqRsoBZiTRevujYjaJNNw+p3VZOhL1kEUBZPdEFkZGcRSqhGt+r2W/MhdGXt6pAuuzjQ2Fpj3rbMs5iAiI+sg4H5s7cIIzQH77lumeZ8oUk1ev8t0O1uerNERfQK+ZUKaDbUKtvGJeHWx1sE0osJWJrHPSe0s/DUT2Hr54Q+mdnYxUjZbOMfW5TGINQuDgwI0vsA2OvEXdlh/WXOLa7pUo5OwdmrVdrbaDA7EpcRuykd4KhAygEvyzRyUNcxPOAQDC25Rp5wIAATAiDzOX2Cs9cgs9efVWdY3NvPISBORB5SiaAWyRR9de+8ZelRnhxd/Hb9oFSqDlhBpPnoypVQQfGAyfgRrUxdnJWPhlz7MBEhGxuhnjQL6QC8/LwDbg+13GymY+b9pUySlypGk9Y3uuz5ZzdLC1ZbXi6FgdbHWwTSiwRasIWkaUNqROMfqqqvniI9AndloSbizWGlK3GIFdyF5DKFBkMlLy32LcuPZssXlAaFdJhgDQxHVcuPuMeY7KSmAeloTHO1mQ2OOtP12WhdPmk7eNy4J846GhAeTslJRx/sroGo9dfURorVIa9/JlxBucTanxD3sZdSQ3hOfRtoQWKQCx8tpBr7n+68qMZKStIHsIHVmI0ZszsY0LykOTmpRmpyjl9xDSBf0j2r/sNUgAKqlGQYMJpi2u4ywDW1Rzi1zWusSevXfAjvN0IQI7Fi2eT9EZpGIW3FEMUpZuIUKkyLMhV4lcKPcYTJ2HPBrCo6g8VhpykfbmUmWMPyM/K07tfGO4bOMabPFdkBuct/MC4yfOlMaJulUvxIqFIIQw8Pfjqu+bP3Ma2vltdWkhETYe2IC4Dw1mXp7SkKeGN3ru9lNaFX6NcSCD2xhzgRMaRBNiHrVU7gy0vmdlVhDE+Zn5mHwutM0AjDFu7ozO7D565HGhA5fuU/P5+1XXAI1b5GzRYrP73D3acvIWK9SCvJ6llqpHL96S52ht5TNAH9zYoEpUGr4TGMTsNVwXPPD7z95QxtRO1KV6IUqXMoaWUwa2sjw6WqRwjQllumebUCuvmFf3bGMWQwfb+AdbW38Cp24+oToztL2vjqbrE9WM4gNsTa3FpOAzNHfXBc3HyAECULEBURoKuSDCXk6ijgOdVoR9TRmKwRaHXdZ8bIpCEUQUEAgwZaboGrf1q0YQsrDV1h+/QT1XqslJMIa5/DBav2LDW23uGqU520k7WNGU0nibma3f11HH62DrqJWMxTg62OpgK3t84suztfXRffLyLZWW9HSihQetPPaYrJK2p78bK/zhlpBgO23bP5qeTijcQOmm0ZwwRhuoNKwD6CZFtR0cA6AF4MIQjr149zmVzefCtFthUzafpdlCMRZILyC/5zlqCz36qPjE5wM95OTPDSFcmcm8chwXOcpADWnO7j9/w+T3QLmJ9jJ4wlB0AquXaKi+Rm5ZVNvBcSCaMCexZ88zw8+Rga0sApAvc2ra9W2N2EwVq3N1sI3V8jnmZB1sY9ZR92xj1iKxgi2ucOifkbR8f0wVs1L2zp5fhcgUBGk95EqVqkQJCbZgeUKhjlL2Dnq10K0FF3DLBfuMFcnIkf7RvRIh9NtjZYSG6P/U6NqsoKjlgv20TyEPiLAvCn9Ar1h3VijdeRIj9Yf+VpCXyHK2/DNT6452scZzobkbsyEAOcXw+sXN3iooS7VWyPnBC/6jmy8riGu98ACFXbhnPJ/ntmVyfpa0fe15XpTnyMB2zo4LNHnzGdXQ39YqSj1q6HSNsV1vq87Xc7ZWLVOCHqSD7acBtrhKSJiduvGUsqZLwfo80c4SGztx/TFtP32HEWq0r5SfSQgqLSHBFtfx+m00Ld57mVEzVnPPYpSww2fXHr5kpBdYAqwF+opRkFRwsJZeEWT4GZyTS6khucACen5RMIYqZ0Yi8VEoHQVcp2+qiSsgUjC0rnngxLUsPxDF8p6lcqcniA1YMplmLWTvQAEJQ8sYhOSxuehevTDzarEBw0ZMaXgqLkyoo5ICtDS3LZ/LwLbT0nDadiqmMA3jeRfIRGu6VLRlaIceq3u2Dl1O+wbTPduYddPB9tMBW/uedvvPSmiwtfXKAZhgPxLNXJ/t3DbljCo+svlk/chxVfgjm8uSco5M2Qnf4/jIQEZCERem99nGxarGckzds43lAsbD6TrY6mBr6jGTgS36fFFMhMpot2xpLVZSx8MjbJwC4dtiw7VShMhtIzwuMlLhRCjnwCsGIQOYm+CRerpmpJrFsrFxm83fRwcvqfmlu1YrRGhrgS3YfZHuPH3FogKgcOSi83yd0GqUJW0KwjmWTFRbwvEQG+CFULLz/zxynVVnKw3iBmfHBjGvH3KPwSdv0Yf3H6iyWxYj65ilazH3uQxse/4SQeuPqfuH42pTYu21W/RsHzx4QNu3b6fr169TzZo1qWTJkrR+/XrKkiULVayYcC65tV9QeZwOtvasWvyeo4OtDrbWgi0KtaDuouRNBqsQ2IUSi6GPtd3ig8YeV/+i2ZiUHrh+iwzdpKpids1kkPO7eO85BU0PVdFGjmtUklpXyMcKp1BApTQusQglHtBKcoMUIVqTkidLStUm76Bbj2P4pX0LZ6GVnSqYXSZlvyw/8NfOFcmnoGkFJBzXdflh2hR5i52CEDIYuKoXySZtQULFdk0rQtq2gi0oPlst3M/y3zBsYCAPiA1ZQplZsL158yYFBQXR8+fP2fVNmTKFGjRoQN999x39/vvvFBYWRsmTm69mS6gvJptXB9vEdDfk16KDrQ621oItpNwQthQNyi5gaEoshv7XI1ceUt5MqSm3i0HwXibKgL+jKAzFYiI1ZMrkyZjYO/qb0XeqtPoeuQhgDHYp0VD5DPKHKVvUAI3jwgb6Ga9HtlYyakhrNzPQmo26/4I882Yg8DDDwJe89ohaRCFf5jS069vqsbpVMs8WAyIqAPIVGCq9Y1lSEKtrxMlmwXbWrFm0bds2mjNnDg0fPpwBLf6JjIykRo0aMY/X1dU11hcRXwPoYBtfK23/PDrY6mBrLdiayg8iZBlbzV77n2DrzjTV+4rKYoSJIRAgmqk+WxCJTG/hSVW/26E5x1zv629dK5JXftNeqixny1WarPuW6qPgaaLCWWnwus+PC7JnOOM5psA2VoPGwclmwbZKlSrUtWtXat26NXXo0MEItnghent7M++2dGnT/V1xcL2xGlIH21gtX7ycrIOtDrbWgi0k6toLSjwFs6ahkG9i5ynFx4N+8sYTqjtTTQyCau5To2oRSCMgy6c030KZWRj0y0UHjd4a/7ynX2HqF1CEIGIPL1pp4FpGfyvajJSGHuEzYwwMUqZM1j/8v9pFGdMVcsDYMED9B6pPICApkiMdGwoMV0v3XWb9wxUKZmb81tj8yCIRzbyg/ORhdskR/kb4/OiVR1QyT3rqVq0woWeW278CbJs2bUply5alQYMGqcD24MGDDID37t1LWbOaFh+25aF9//494z7NkCEDOTsbQi2W7N69e5Q2bVpKlco6UWIdbC2taMJ/roOtDrbWgi2OQ3HU6L9PEYqR3LKno9ktyxhf+gn/NJu/AhBa9P71CAt3ItT6U1tv8i2cmQkRiEo3nHv47rPXjA4RYWkYin4WtfVibVcHLj2gLkvDGekFIHSoQhkHersj1kWyXmAQZCz40tti7hVhYAgzgDEMVqdUTvqhdVn276J0IHpv9w3yp4fP31CV70JUPMwVCmSmVV182N96/XqE1h+7wcZAHndem7LGMLNstXAOtJMheMAtW7qUFDbQn7Ucwf4VYDt//nyaO3cuTZgwgVauXEkNGzakwoULU//+/cnFxYXWrFnjkOc5NDSUjYliLFibNm1o2LBhlDRpUun4OH7mzJl05coVQuO/r68vyyMDeM2ZDrYOuV1xOogOtjrY2gK2/Fi8lBM6J2fvDwOV1EoPc0LwGZovoYZUyh4+evyYUjiloNSptY6JOJ7yusx9Zur6UcyVBP/76ARfuPuc/Kfu1Bw+KKgYE5Sfvk2bR4cXzXO3OBGbI2v6suEliwLxOB/sXC3LG1KY/wqwfffuHQPBDRs2qBY2b968tGDBAga8sbW7d+8ysES4Gv9cu3aN6tWrRxMnTqQmTZpohsc1FStWjHr37k09evSgFy9esE1As2bN6KuvvtLBNrY3JIHP18FWB1t7wDaBH1uHTi+TPcQESrB98uQJOTk5WR0FdOQFQugAVeCiDahdhN68g5yfFmwheuCcQk1SYs01IX+NdifRIBL/hU++fw/Y8i944sQJOn36NBPozZ8/PwNHa0O9lhYUBVjdunWj8PBwFkKGjR8/nqKiogietWgAVw8PDxUYDxgwgFVF4zxzpnu2lu5Gwn+ug+1/E2wfPH9DPX85wkKoqJ5Fng+5QaV9aqQW9v6aZLJ3IuWhDGzRw9p39VE6e+sp4zye2syTapUwMEVtPXWbvll9jGnhumdPyz4DnSR73248TQt3X2QhZrThzGpZhgEjKCrRr7rz7F3mhRpywwb2KMgNnr/zzPgVkZNFjzC4lBH2VRoKuKAIZY/Bq648aQfdePTSeLpLaic6MMifUn6scpZ5tlx9KOTMHXYewu0LvixHyU1ES+25NlvPsdhna+uAth6/e/du6tixI0VERFC6dIYE+/Lly2nFihUUHBwsHW7y5MnMs+7UqRMVL16cxo4dS4sXL2b/roOtrXcgcR2vg+1/E2xllaozW5ahzzxyGRfkvwK2+MKQPJyy+R+69eQlNfd2pcF1iqroDmVg6zsxRAVKGCe4d1WW2wQ4Ki1b+pQMsJYfuELDBHpFrDnWvtPP4bTttJryEDq9TcrloTKjt9BjQRABVJPoeRbDvgWypKEd/e0vWkO+FqpLIWfuMiIMeNBFshuwAiYD25HrT9ISQTmptU8+GtewZIK98MyCLbxIAN6uXbuYpykaANFSntTSN3v8+DEFBgaSu7s7tWrVivDfANvo6GiTYLtv3z7q06cPeXp6UkhICKFqetq0aUbPGHMOHTpUM/WqVavo0KFDli4p3j9H3jllypTxPm9inBA/nGTJkpnM1yfGa46ra0LRIH4HCBf+281zolosHd+3XYU81KeGIVQIw+8kRYoUVuX6/u3rhXQavE38VmDQ360x86Dma3etbMhrzttzRfPZ+i7l6Ic9Vyj4pKEXVWlHB1Yi2T1p6ZWTGpTKTi0Wq1micG73Kq4EiWPZXGH9fCiNHWFka+4jfidYDzwb3OrPP0xXH8aQeODvyZMmofAB9nnY5q4D9UvWmFmwnTp1Ks2bN4+BWc6cOY03lg+MKmVHhJMvX77MQsb4/9y5c9PJkydZ/64sjAww9vLyomXLlpGPjw/bBCDXixAxiqa47d+vLnXH37/44gvWI5zYDN6ctTcssV27o68HBCr40fwXAMbS2mHj8ebNG0qTJo2lQz/5z4uO3KaqYMUX6la1APXxjwkl47fPU02f/Be24gvcefKKnr6OpoJZ0miKv05du09pUjpRvqzp2UgoTPIcq+2z7R9QmIVOJ27W5lH3DahKs3ZcpJWHrqmuBrqz4YOqU+kxIZpWoq8q56eWXrnJb7p2czSyXlHWEjQj5KLm250Y5scEJswZQsYX774gF+fklCWd9c4HNqQvX75UOX5NFx6i49ceq6aDktTOfpWtWHnbDrHWUTILthUqVKA6derQiBEjbJs9FkfjZQuPdciQIdSuXTvNSDzsjPajjBkzss8RQp4xYwYdPardbSkH0HO2sbgx8XSqHkaOWejELLHn6MdBVhS0tV81Fb3efyWMDNBps+gg7f1IvZgtXSpa1M6L5Vgv3XtObX86SFceGITRy7q6ECgUAWT4O/K93FD9e3R4APOAoReMSmRuvB0n4spDavzDXtXtRN8r+l+hOjTyr5PGz1CM/HevKkyBSOzBdUmdgg4PrUkv3kaT35SdRppEnAyGK+SBzVlE1EPquDSctQ7BqrpnoZ/bl7cqiiELI4uSjRgTbUtoX0ooMwu2LVu2ZKQV8GDj0u7fv0/p06cn/D/CwTt37mThYezoUZSFVqDOnTtT3bp1WbVyjRo1qGfPnsyjffXqFatCxvkLFy40e5k62MblXXTM2DrY/jfB1n/qLrpwN6bgBqswpE4x+qpqQeOC/FfAdu7OCzRpk1qLFYQRm/tUpTaLDtCeczH8x1ic7jUKU/9Ad3IfEkzvFIDKHJF23gTxAejqKg0AfHp0LdaOc/zaI8ZljHOhSwzdXG4AraNXHxFIMOqWyknFc6VndJHFhm/SRCLWdvdlsoPgIwapBaQIwff8RcWYVICpt0S1yTtVWsE4Dnq70N21ZKZaf1AcxbmiKxfOwoqkEtLMgi0YotC/umXLljgN3/BwNdvRVK1K48aNoxw5DDecs1WNHDmSEWnAkEdesmQJnT1r4PusVasW9e3b13iOqQXVwTYhHzXr5tbB9r8JtjJqwK+qFKQhdYv958B21PqTjKxDNFN0jQCRSU1Kk/e4bZpzzNE1/tLZhyoWzGzdD1NxFEToG/2gDSNjLqgC2WOy+9+lWiEa9FHNyNyY/4o+WxRIoc0HxiuFlV9648aN0r/butiYB2xQyAvbkqvjjFPWxsx1sLX1zsT/8TrY/jfB1mOUtroVrSbfBBb55MH2xLXHtP3MHcqRISU193K1SL4xdctZmhVyXvXjgyRfxLAAqjl1F50XIgAdKhcgEEq4Ddmo+cFObFyKnr+JpjF/n9J8hvEwrq326MVb8hytFT2Y27osBdkZpoXuL/R/lda7phv1rWloNfrXgy3ypqtXr6b69eszDsA+NgAAIABJREFUIBQZnUAqYS1VoqUFi4/PdbCNj1WO3Rw62P43wXb76dvU8edw45dHu8i6ryupBMc/xTDyygNXaPDaE8bv5ZHXhf7o5muWkxhg9tnsPca8LE5e0r48VS+SVcovDPEChH67LDvMWoaUdmlCXfA1UeO5ewkeKbemXnlp8uf289qjvQfsTtzQG31xQh27f/xbTt6izssOG88vnC0tretRidKktKwq96/wbP38/CggICDOc7Z23yEbT9TB1sYFS4DDdbD9b4ItvjWKf9YdvU4ZnFNQGx9XlidU2qcGtih0KjR4oya3Cb1dSNWZszfR72nZvih6+uotNSqTx0i87zV2G917ZtBo5dbCOy+NaVjKpGfb4iOtIQqeAOQocAoobiC7sMfiwrPFdSBnD95kFFu18cnHWnWssX8F2KIaGAAFD/ffYDrYJv67qIPtfxdsLT2dnxrYIiyK8Khovf3dqO9HJiZL31n8XJbbLJ3HhYkRmMrZ2ptHNXVtcZGztXUdlMf/K8B2x44drPAIurWZM9ueSI/NAsbFuTrYxsWqOnZMHWx1sDX1RCU02ILJ6LfwawSvEwxGYFLihmpeqO7AGavqnpWquRvU0EqN3MxoD5XGmbFAQbh8fxTdevKKcmdMTT1qFKZUH3tRQbkIVaC30e9Zyw/aZ2D1Z+2hE9fV/aPwklFIZqoauYaFKlxHVyM79o1gebR/RTUyWJpEEQLlV1fyGVtekoQ/QgfbhL8Hlq5AB1sdbBMj2F598IKR76PthRu4m6Hv+kfEdeq3Wt3jv6itN/kXy8bE0tsvPmgkh2hUNjdNa+bJ/rvihO0ETmhuJXNnoL97VqYzt55SnZmh9F7RxsPboI5dfUTtlhwy9qOWzJWBUFUMIgr02HZYcsjYT9vONz+N/KyE2Z+c3X22P4SpcsC8z9acPq6l3769n/8r+my3bt3KZOxMGfpfra0EtnchHXmeDraOXM24GUsHWx1sEyPYTt3yD80KOae5NLTjeI7eSo9exIAmDvIpmImRTcDeRX9gFcQ50qdk+UjY7JDzNGWLoXVRaQDO0H/u0Q871dXIyZMlofPjDAVIkKfbffo6pXNOQWULqHtH32KuO88oT0ZnBsCWDLzIy/arqXhx3omRtajIUK0YfddqhZjaTqVJIZqhxzYsyXKt8W0ysG0wJ4ywMVEaGKSguZtQluBCBPH5xXWwjc/Vtm8uHWx1sE2MYDt581mas0MNgLhOVPsWZEVQMexM+Duqabf1q2byRzB92zmpFB2Ylo5de0w/hmopD+NCYg9i7n8dNYi5K81UT2+7Svmpabm8VHdmqOYcKAL18revz9a+t4XhLBnYVpu8g6LuG1i2uKHg6vx4+yumY3ONOFcDtiB0Bk1c6tSpraLKiu0FxOf5OtjG52rbN5cOtjrYJkawRUsNWmuUBqrEP7pXor6rjtLaI9dVn3WuWpAG14kh5BC/E3h70d6jNNTenhpTm7E5YUylVS+SjZa09zb+Sab6A17isRtO04bjN8kjTwbqX6sIeefPxM5BOHvEX5F0/vYzQg4X7Ez5M6dhXq0jVX/gUTva/rWqP6BJ7NKlCyGE/P3335tU3sGC6jlbxzxWt2/fpuzZ7S/Fd8xVJI5RdLDVwTYxgi2uCa0zYzecYmFhcAvPbOlJ2dOnojfv3tNXS8ONvMToeZ3XppxZ8opnr99RubFb6fXb98avmz9zaiZFBypFkFp8v/UsaxtCwRU83gzOMepPMrCtNzOUIm88MY6XJAmxsCmqoiGxp3S+QaO4e0ANdqw9erYRVx7RN6uPsnatjGlS0PTmnsaiMEe+SezVs/1572UaoeB1xjWNqF+c2ltB/+jI61dtpj4I8Y8LFy7QX3/9xUQAoDF79epVk3ODO1nP2cb+1uhgG7OGOtjqYJtYwTb2v/SYERbsvshATrSNvSpT8VwGUXdzJoLtk5dvqfQoLasTWowAstO3aVV/NvSqTCWsmMvStcTl5wcvPaBm8/dpphjTsCTLHcNkYeTGP4QRNgRKU24w4vKaTY1tNmcLYQDQJ4LkX2kg/we9IuTwsAv7VEwPIyf+O6WDrQ62/wWw/XHPJRoroVDc1KcKFc2hft/K1kMDtq/eUumRWrBFHhXeIXLEom3qU5WK5ogRYbfn7QAlobisQAZLlShGj+uc0LgUtfxI1iED28/n7aXwyzEMVzgntiL29qyP8hyzYAtVnZIlS9LXX3+tmufcuXNMeg+i8rlyGfq/PgXTwTbx3yUdbHWw/S+A7cs30VRxYoiqitk9ezra0reqVT9SWRi54ZwwptDDDbJ7Yf/zY+1KVb/bQcoSLlvmkl0QcsCdfg6nF28MIvZTmnpQk7K5rbp2Ww6CV15jyk5C3pZbtnQpKWygPzklMzh6MrBdHX6VBvx2XDUVxBqae+e1ZXqHHmsX2N64cYP+396ZgEdRpG/8ywEoZzgiRITlElFuBSGcCpK/XCIgsByryI2r4K54spwCIisghwgoisohKq4oiigCBkFZIaAr4VS5JRwBllNMwv95i+3MTGYy3TPpSc3x1vPkGZipruOtr+pXX1V1d8uWLeWTTz6RGjVq2FqgQCZG2AZSXXvSJmwJ20iALeqIW3Re2/CL/HTkrHq13fB7qktpiy8G8ARb7M3iFqV/709X7wF+uGklwdOlvv3llPSc/52LrHgU5q7n7/XLK8Ue9S2jVrk9hhLPMsazn+0Ox85eltnr9sn2g2ek1k3FZWjLatmPr8wNtvgewP3ofwfX7q9fXro30AdalMcjbJcsWSJ4E8+yZcvUUnGzZo6322MWgcNTR44ckU2bNklMTIzd2gYsPcI2YNLaljBhS9hGCmzz0mk8wTa39HK7zeiDIYnS4H+nlX0py7pdx+Xhhd+7XZKXV+z5kn/OuCH9uEa8gCC3g1F4oTt+79atmyQmXrtpO1QCYRv8LUXYErbhBls8LWrbwdNSoVRhKR9nz60xvsA2twdobHymlV/l2ZN2TpKmJ7s1E949i3fQ5ncIadgaYk2aNEmqVq0qPXr0yG/9ApIfYRsQWW1NlLAlbMMJtniEYt83/5295Nq6xg2yoK/jfll/O48vsAXs8ZAHLMcaoUm1MrJkQCN/s1cPtdjhdJtR4YKx8uPYNhIb7fqmJr8z8OHCsICtD/UNiaiEbfA3E2FL2IYLbHFX5a2jV7s8Txl1w2GiB5xeYuBPr/QFtkgfD7x4c+N+uXglU8oULSh47KK/AYeibhvt/jajZYMTpVHlaw/RyM9A2Oan2hbzImwtCqUxGmFL2IYLbAPxij1DG19ha2eX3nbojHR+ZaNbktyz9a4yn41spxX6mRYfauEQjrAlbMMFtrhtpcpzn7qd2h3fqZY8mJi3B/brhO1/L2dInbHunu3rDzWQe27N/yfh0bP1EzyBvIyebSDVtSdtwpawDRfYoh4rth+R4e86nnOMW3w+GNLE66McrfQknbBF+WZ+tVemfel4KhWet/ymDXvRVuqeMw5h649qAb6GsA2wwDYkT9gStuEEW9QFD2TAm3XwJqB2tRNs6CUiumGLSuCA1JqdaVK/Ypy0uDnelnr5kwhh649qAb6GsA2wwDYkT9gStuEGWxu6hVsSwQDbQNTLnzQJW39UC/A1hG2ABbYhecKWsI0U2B4+fUm94u63M5fUPbiP3FVVihQyf+E79CFsHVZC2Now8NqdBGFrt6L2p0fYEraRANvf/7j2bOT0C1eyq1vzxuLy6bDmljoVYUvYWjIUXZEIW13KW8+XsCVsIwG2c9bvkymf73ar6vJHmsgdFUuadhjClrA1NRKdEQhbnepby5uwJWwjAbZ4v6yn194teKiBtLZw+wxhS9haG1E1xSJsNQnvQ7aELWEbCbD99eQF9eo451AwJlp2jL9XvTpuxfajMuHTVLXM3K1BBXm+U03Bm3qMQNgStj4Mq65Rs7Ky5Pjx41KiRAm5/np7HtadszCErd/Nk28XEraEbSTAFnVM3nNCHlu6Tc5e+kMqlCwsU7vXlTsrl5IvU9Nk4NtbXGToUCdBZve6nbD1YBw8IOXD8LxhwwYZMWKEpKenq6v69Okjo0aNkmgPD7Xev3+/tGnTxi11vI1o+3bHzeOesidsfWgUTVEJW8I2UmCbWz0nfrZTXkv+xe3n/ZPbE7aErf8j84kTJ6RJkyYyZMgQ9Xf48GHp0KGDTJ48Wbp27eqWMGYxeJeuc8D7d9etW6fes+stELb+t1N+XUnYEraRDtsXVu2UeV+7wjZKRH4lbD2aBj1bi6PzmjVrZOjQobJlyxa1hIyAV/sdOHBA5s2bZ5rK+fPn1cvtx40bJ506dSJsTRUL7giELWEb6bD9fv9p6TZ3k4sM/ZpVltEdbqNnS8/W/wE8OTlZ+vfvLykpKVKsWDGV0KJFi2Tx4sWyatUq04Rnz54tK1asUHFjY73fEE7P1lRO7REIW8I20mGL+m/cd1KWpxyRMxevSJOqZWRA88ousvCAlEMOerYWh+2zZ89KUlKSVK9eXXr16iX4P2CbmZlpCtuTJ09KYmKizJkzx20fd9iwYW4lAJA3b95ssWT5Fw3GUqBAgfzLMIhzysjIUHv1nvbrg7jYASkaDg3iz2wSGZDMgzBR9hNHo2B8jIqKYj8REbw3GHro6ielSll7h29QvGIPh56wZIzP8uXLy44dO6RixYqmy8gTJ06UrVu3yvLly5XhOYedO3e6DRf33XefpKamBt0wgoNhVhss6Apvc4GwLVCoUCFOPkQEcPn999+laNGiNqscmsmdPn1a4uLi3Pp6aNbmWqkPpV+UHb+dkzsqxkl8sUIuVfnh8Fl160+TqqWlUKzjth9EunDhgoIL+orVgNuN9hw/L3dWKiklCxe0elnQx8ME/eLFi1K8eHEtZbXqKAUFbJ0VghHVq1dPRo4cKX379s1VvIMHD0rr1q1l4cKF0rRpU0sicxnZkkxaI3EZ2SE/QHvp0iUFGAZRtwbGx8eHDWyf/uBHWbblUHbTjul4mzzctLJcyciSB+Z+Kz8ePqN+KxgbLW/3aySNqzg8KF+XkYcs2iqf/3QsO69p3etJl9vLh4VZcRnZh2Y8deqUmpXgc/r06bJ+/XpZu3at4Haec+fOqVuBBg0aJO3bO46+41ahY8eOqSVnq4GwtaqUvniELWGbm/WFE2w3/5ouPeZ961bVH8f+n7zxza+CJ0w5B9yHu+Hpu7O/8gW2q3cck8HvbHXLa8+EtgrkoR4IWx9acOrUqTJ37lx1RYsWLQTLw+XKlVP/x+DbsGFDGTt2rPTu3Vt9t2vXLunYsaMsW7ZMbr/dcaO3WZaErZlC+n8nbAnbSIAtHtWYE6io97LBicoDfXPjr24y+HufbW55rfl7S/WO3VAPhK0PLYj1dhx2SkhICOheHWHrQ6NoikrYEraRANtvfzklPed/51bVH8YkKc92xld7XX4rH3e9bHymlV+e7aqfjsnQRe6e7e7n75VCBWI09XT7siVs7dPStpQIW9ukDFhChC1hGwmwRR3//t52+TDF8YCeke1ulYEtqsjvGVnS9dVN8tORs0qK2JhoWdT/TmlcpbRfsMVFA97aImt2pmVfP+WButK9wU0B68f5mTBhm59qW8yLsLUolMZohC1hGymwRT0BVHi5bW4tK5XKFHGp+hepaXLs7CXpXP8mKXad6zMEfNmzNRJNOXhGUg6kS9vaCQJPOVwCYRuELUnYBmGj5CgSYUvYRhJs/e2R/sDW37yC/TrCNghbiLANwkYhbHNtFN764ypNOJ1GzmtPJGwdChK2ebWmAFxP2AZAVJuTpGdLz5aerXmnImwJW3Mr0RiDsNUovsWsCVvClrA17yyELWFrbiUaYxC2GsW3mDVhS9gStuadhbAlbM2tRGMMwlaj+BazJmwJW8LWvLMQtoStuZVojEHYahTfYtaELWFL2Jp3FsKWsDW3Eo0xCFuN4lvMmrAlbAlb885C2BK25laiMQZhq1F8i1kTtoQtYWveWQhbwtbcSjTGIGw1im8xa8KWsCVszTsLYUvYmluJxhiErUbxLWZN2BK2hK15ZyFsCVtzK9EYg7DVKL7FrAlbwpawNe8shC1ha24lGmMQthrFt5g1YUvYErbmnYWwJWzNrURjDMJWo/gWsyZsCVvC1ryzELaErbmVaIxB2GoU32LWhC1hS9iadxbClrA1txKNMQhbjeJbzJqwJWwJW/POQtgStuZWojEGYatRfItZE7aELWFr3ll8he3vGVkyP/lnwWeFkoWlR8MK5pmESAy+Yi8IG4qwDcJGyVEkwpawJWzN+6kvsM3IzJJ2M7+RPWnnshNuW7ucvNr7DvOMQiAGYRuEjUTYBmGjELa5NgpfHu8qDV8e79DDF9gu3LRfxn68w83OfhiTJCWuLxD8g4JJCQnbIGxCwjYIG4WwJWwtmiVh6x9sX16zV15es8dN5bVPtJQq8UUtqh+80QjbIGwbwjYIG4WwJWwtmiVh6x9sdxz9r7SfucFF5bjCBWTb6CSJsqh9MEcjbIOwdQjbIGwUwpawtWiWhK1/sMVVH207IiM++EEyMq9KQonrZGbP+tKwUimLygd3NMI2CNuHsA3CRiFsCVuLZknY+g9b48qsq1clOioc/FmHFoStxQ6Un9EI2/xU27+8eBrZoRsPSLnaEGGbd9j61yuD+yrCNgjbh7ANwkahZ0vP1qJZEraErSdTIWwtdqDs5Y2sLEFnKlGihFx//fWWrz5//rycO3dOypYtK9HR0V6vI2wty6otIj1bera5GR9hS9gStnkcmjds2CAjRoyQ9PR0lVKfPn1k1KhRXuG5bt06mTRpkuzfv19ds3LlSrnlllsI2zy2he7LCVvClrA174W+3Gdrnlpox6Bna7H9Tpw4IU2aNJEhQ4aov8OHD0uHDh1k8uTJ0rVrV4+prF27VgYPHqz+unTpIiVLlpTrrrvO1COmZ2uxUTRGI2wJW8LWvAMStg6NCFtze1Ex1qxZI0OHDpUtW7aoJWQEeKwHDhyQefPmuaVy9epV6dixo9SoUUNeeukli7lci0bY+iSXlsiELWFL2Jp3PcKWsDW3khwxkpOTpX///pKSkiLFihVTvy5atEgWL14sq1atcksPS82NGjWS1q1bC2Y0Fy9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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter(run, x='year', y='time', hover_name='name',\n",
    "                 width=450, height=250)\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "When we want to prepare a plot for others to read, we consider the\n",
    "takeaway message. In this case, our main message is twofold: the best runners have been getting faster over the past 50 years, and Usain Bolt's remarkable record time of 9.58 seconds set in 2009 remains untouched.\n",
    "(In fact, the second-best race time also belongs to Bolt.)\n",
    "We provide context to this plot by adding a title that directly states \n",
    "the main takeaway; units of measurement in the y-axis label; and annotations to key points in the scatter plot, including the two best race times that belong to Usain Bolt.\n",
    "In addition, we add a horizontal reference line at 10 seconds to clarify that only times below 10 seconds are plotted, and we use a special symbol for the world record time to draw the reader's attention to this crucial point:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
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stroke: rgb(0, 0, 0); stroke-opacity: 1; fill: rgb(0, 0, 0); fill-opacity: 1; stroke-dasharray: 9px, 9px; stroke-width: 2px;\"/></g></g></g><g class=\"infolayer\"><g class=\"g-gtitle\"><text class=\"gtitle\" x=\"55\" y=\"13.5\" text-anchor=\"start\" dy=\"0.7em\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 17px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">No one is coming close to Usain Bolt's best time</text></g><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"301.5\" y=\"439.20625\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Race year</text></g><g class=\"g-ytitle\" transform=\"translate(3.3310546875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.668750000000003,213.5)\" x=\"10.668750000000003\" y=\"213.5\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Time (seconds)</text></g><g class=\"annotation\" data-index=\"0\" style=\"opacity: 1;\"><g class=\"annotation-text-g\" transform=\"rotate(0,141.9,197.41)\"><g class=\"cursor-pointer\" transform=\"translate(65,155)\"><rect class=\"bg\" x=\"0.5\" y=\"0.5\" width=\"152\" height=\"84\" style=\"stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0; fill: rgb(255, 255, 255); fill-opacity: 1;\"/><text class=\"annotation-text\" text-anchor=\"start\" x=\"4\" y=\"16\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre;\"><tspan class=\"line\" dy=\"0em\" x=\"4\" y=\"16\">At the 1968 Mexico City</tspan><tspan class=\"line\" dy=\"1.3em\" x=\"4\" y=\"16\">Games, American Jim</tspan><tspan class=\"line\" dy=\"2.6em\" x=\"4\" y=\"16\">Hines was the first</tspan><tspan class=\"line\" dy=\"3.9000000000000004em\" x=\"4\" y=\"16\">sprinter to break</tspan><tspan class=\"line\" dy=\"5.2em\" x=\"4\" y=\"16\">the 10-second barrier</tspan></text></g></g><g class=\"annotation-arrow-g\" style=\"opacity: 1;\"><path d=\"M141.9,154.91L81.9,104.91\" style=\"stroke-width: 1.5px; stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-dasharray: 0px, 0px, 78.1025px, 78.1025px;\"/></g></g><g class=\"annotation\" data-index=\"1\" style=\"opacity: 1;\"><g class=\"annotation-text-g\" transform=\"rotate(0,295.85,295.07)\"><g class=\"cursor-pointer\" transform=\"translate(220,276)\"><rect class=\"bg\" x=\"0.5\" y=\"0.5\" width=\"151\" height=\"37\" style=\"stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0; fill: rgb(255, 255, 255); fill-opacity: 1;\"/><text class=\"annotation-text\" text-anchor=\"end\" x=\"148.140625\" y=\"16\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre;\"><tspan class=\"line\" dy=\"0em\" x=\"148.140625\" y=\"16\">Usain Bolt set the world</tspan><tspan class=\"line\" dy=\"1.3em\" x=\"148.140625\" y=\"16\">record in 2009...</tspan></text></g></g><g class=\"annotation-arrow-g\" style=\"opacity: 1;\"><path d=\"M371.85,295.07L401.85,335.07\" style=\"stroke-width: 1.5px; stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-dasharray: 0px, 0px, 50px, 50px;\"/></g></g><g class=\"annotation\" data-index=\"2\" style=\"opacity: 1;\"><g class=\"annotation-text-g\" transform=\"rotate(0,500.7,341.62)\"><g class=\"cursor-pointer\" transform=\"translate(453,315)\"><rect class=\"bg\" x=\"0.5\" y=\"0.5\" width=\"95\" height=\"53\" style=\"stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0; fill: rgb(255, 255, 255); fill-opacity: 1;\"/><text class=\"annotation-text\" text-anchor=\"start\" x=\"4\" y=\"16\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre;\"><tspan class=\"line\" dy=\"0em\" x=\"4\" y=\"16\">...and the</tspan><tspan class=\"line\" dy=\"1.3em\" x=\"4\" y=\"16\">Olympic</tspan><tspan class=\"line\" dy=\"2.6em\" x=\"4\" y=\"16\">record in 2012</tspan></text></g></g><g class=\"annotation-arrow-g\" style=\"opacity: 1;\"><path d=\"M452.7,341.62L432.7,311.62\" style=\"stroke-width: 1.5px; stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-dasharray: 0px, 0px, 36.0555px, 36.0555px;\"/></g></g></g></svg>"
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   ],
   "source": [
    "title_101 = \"No one is coming close to Usain Bolt's best time\"\n",
    "\n",
    "fig = px.scatter(run, x='year', y='time', hover_name='name',\n",
    "                 width=550, height=450)\n",
    "fig.update_yaxes(range=[9.5, 10.05], title=\"Time (seconds)\")\n",
    "fig.update_xaxes(range=[1966, 2026], title=\"Race year\")\n",
    "margin(fig, t=35)\n",
    "fig.update_layout(title=dict(text=title_101, y=0.97, x=0.1, xanchor='left'))\n",
    "\n",
    "fig.add_hline(y=10.0, line_width=2, line_dash=\"dash\", line_color=\"black\")\n",
    "\n",
    "\n",
    "hines = to_plotly_text('''\n",
    "At the 1968 Mexico City\n",
    "Games, American Jim\n",
    "Hines was the first\n",
    "sprinter to break\n",
    "the 10-second barrier\n",
    "''')\n",
    "\n",
    "anno_params=dict(bgcolor='white',\n",
    "                 borderpad=3,\n",
    "                 arrowcolor='black',\n",
    "                 showarrow=True,\n",
    "                 arrowwidth=1.5)\n",
    "\n",
    "fig.add_annotation(x=1968, y=9.95,\n",
    "                   ax=60,\n",
    "                   ay=50,\n",
    "                   xshift=3,\n",
    "                   yshift=-5,\n",
    "                   yanchor='top',\n",
    "                   text=hines,\n",
    "                   align='left',\n",
    "                   **anno_params)\n",
    "\n",
    "fig.add_annotation(x=2009, y=9.58,\n",
    "                   ax=-30,\n",
    "                   ay=-40,\n",
    "                   xshift=-3,\n",
    "                   yshift=5,\n",
    "                   xanchor='right',\n",
    "                   text='Usain Bolt set the world<br>record in 2009...',\n",
    "                   align='right',\n",
    "                   **anno_params)\n",
    "\n",
    "fig.add_annotation(x=2012, y=9.63,\n",
    "                   ax=20,\n",
    "                   ay=30,\n",
    "                   xshift=4,\n",
    "                   yshift=-4,\n",
    "                   xanchor='left',\n",
    "                   text='...and the<br>Olympic<br>record in 2012',\n",
    "                   align='left',\n",
    "                   **anno_params)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "These bits of context describe what we have plotted, help readers \n",
    "see the main takeaway, and point out several interesting features in the data. \n",
    "The plot can now be a useful part of a slideshow, technical report, or social media post.\n",
    "In our experience, people who look at our data analyses remember our plots, not paragraphs of text or equations.\n",
    "It's important to go the extra mile and add context to the plots we prepare for others."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "user_expressions": []
   },
   "source": [
    "In the next section, we move on to specifics on how to create plots using the `plotly` Python package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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